Paper Info
Title
Folksonomy based socially-aware recommendation of scholarly papers for conference participants
Abstract
Due to the significant proliferation of scholarly papers in both conferences and journals, recommending relevant papers to researchers for academic learning has become a substantial problem. Conferences, in comparison to journals have an aspect of social learning, which allows personal familiarization through various interactions among researchers. In this paper, we improve the social awareness of participants of smart conferences by proposing an innovative folksonomy-based paper recommendation algorithm, namely, Socially-Aware Recommendation of Scholarly Papers (SARSP). Our proposed algorithm recommends scholarly papers, issued by Active Participants (APs), to other Group Profile participants at the same smart conference based on similarity of their research interests. Furthermore, through computation of social ties, SARSP generates effective recommendations of scholarly papers to participants who have strong social ties with an AP. Through a relevant real-world dataset, we evaluate our proposed algorithm. Our experimental results verify that SARSP has encouraging improvements over other existing methods.
Year
DOI
Venue
2014
10.1145/2567948.2579239
WWW (Companion Volume)
Keywords
Field
DocType
social tie,strong social tie,academic learning,social learning,innovative folksonomy-based paper recommendation,smart conference,socially-aware recommendation,proposed algorithm,relevant paper,conference participant,social awareness,scholarly paper
Data mining,World Wide Web,Computer science,Social consciousness,Folksonomy,Social learning,Interpersonal ties
Conference
Citations 
PageRank 
References 
11
0.48
18
Authors
5
Name
Order
Citations
PageRank
Feng Xia12013153.69
Nana Yaw Asabere2876.31
Haifeng Liu313110.34
Nakema Deonauth4733.49
Fengqi Li5122.18